Literature DB >> 19172575

Glycemic risk factors of diabetic vascular complications: the role of glycemic variability.

Francesco Zaccardi1, Dario Pitocco, Giovanni Ghirlanda.   

Abstract

Achieving adequate targets relatively to all risk factors is considered a standard of care for patients with diabetes mellitus. To date, current guidelines underline the importance of the 'glucose triad' (post-prandial glucose, fasting plasma glucose and glycated haemoglobin) as the three glycemic factors that should be controlled in diabetes care; however, several literature data show that optimizing glycemic control needs achieving a control of glycemic variations. The objective of the present work is reviewing biological and clinical data supporting the role of glycemic variability, its measurement and relationship with the three other well-known glycemic risk factors and evidencing the areas that need further investigation. At last, we propose a simple model that summarizes the 'glucose triad' plus the 'new' risk factor glycemic variability (the 'Pyramid of the Risk').

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Year:  2009        PMID: 19172575     DOI: 10.1002/dmrr.938

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  21 in total

1.  Translating glucose variability metrics into the clinic via Continuous Glucose Monitoring: a Graphical User Interface for Diabetes Evaluation (CGM-GUIDE©).

Authors:  Renata A Rawlings; Hang Shi; Lo-Hua Yuan; William Brehm; Rodica Pop-Busui; Patrick W Nelson
Journal:  Diabetes Technol Ther       Date:  2011-09-20       Impact factor: 6.118

2.  A rat model of glycaemic variability.

Authors:  F Zaccardi; D Pitocco; G Ghirlanda
Journal:  Diabetologia       Date:  2009-05-14       Impact factor: 10.122

3.  Glycemic variability in normal glucose regulation subjects with elevated 1-h postload plasma glucose levels.

Authors:  Jian-Bin Su; Tong Chen; Feng Xu; Xue-Qin Wang; Jin-Feng Chen; Gang Wu; Yan Jin; Xiao-Hua Wang
Journal:  Endocrine       Date:  2013-09-13       Impact factor: 3.633

4.  Are neurocognitive speed and inconsistency similarly affected in type 2 diabetes?

Authors:  Bonnie P Whitehead; Roger A Dixon; David F Hultsch; Stuart W S MacDonald
Journal:  J Clin Exp Neuropsychol       Date:  2011-07       Impact factor: 2.475

5.  Combining basal-bolus insulin infusion for tight postprandial glucose control: an in silico evaluation in adults, children, and adolescents.

Authors:  Ana Revert; Paolo Rossetti; Remei Calm; Josep Vehí; Jorge Bondia
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

Review 6.  Endothelial Dysfunction and Platelet Hyperactivation in Diabetic Complications Induced by Glycemic Variability.

Authors:  Ye Huang; Long Yue; Jiahuang Qiu; Ming Gao; Sijin Liu; Jingshang Wang
Journal:  Horm Metab Res       Date:  2022-07-14       Impact factor: 2.788

7.  12S-hydroxyeicosatetraenoic acid levels link to coronary artery disease in Type 2 diabetic patients.

Authors:  H J Zhang; C H Sun; H Y Kuang; X Y Jiang; H L Liu; W F Hua; Z J Liu; H Zhou; H Sui; R Qi
Journal:  J Endocrinol Invest       Date:  2012-10-22       Impact factor: 4.256

8.  Improving the Quality of Outpatient Diabetes Care Using an Information Management System: Results From the Observational VISION Study.

Authors:  Joerg Weissmann; Angelika Mueller; Diethelm Messinger; Christopher G Parkin; Ildiko Amann-Zalan
Journal:  J Diabetes Sci Technol       Date:  2015-07-29

9.  HbA1c variability is associated with microalbuminuria development in type 2 diabetes: a 7-year prospective cohort study.

Authors:  C C Hsu; H Y Chang; M C Huang; S J Hwang; Y C Yang; Y S Lee; S J Shin; T Y Tai
Journal:  Diabetologia       Date:  2012-08-26       Impact factor: 10.122

10.  New Innovation: Use of Flash Glucose Monitoring for Evaluating Glycaemic Variability, Patient Satisfaction and Clinical Utility in Pregnant Women with Diabetes.

Authors:  Saxena Pikee; Kumari Khushbu; Prakash Anupam; Puri Manju; Jain Sachin
Journal:  J Obstet Gynaecol India       Date:  2021-01-02
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